Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118426033F500CD2A4DAB558CF2C49588525ED349FB3248CAB16091BF7BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:nY0qFzYYc9cmch+2Iy1HeKftxwMcnthWeNWbsQJFLg1rfMmUU8VCo2Rhhsw81:Uc9cmch+2Iy1+KIQJFLg1fMmUFCoaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c86eb2388d599c67 |
|
VISUAL
aHash
|
ff000018000000ff |
|
VISUAL
dHash
|
a585a1b3333191c8 |
|
VISUAL
wHash
|
ff4060781098ecff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
000004004c5444a3,e080888c8c80a230,c900000000000000,a0a0a0a0a0204000,a58da1b3333195c9 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.